2020
DOI: 10.1016/j.jrtpm.2019.100175
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A concurrent approach to the periodic event scheduling problem

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Cited by 11 publications
(14 citation statements)
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“…6 on the computation of the others. The cyclomatic number, also known as feedback edge set number, is a common measure for the difficulty of PESP instances, as it counts the number of integral variables used in a cycle-based mixed integer programming formulation (Borndörfer et al, 2019). However, parameters such as treewidth and branchwidth are much smaller.…”
Section: Parameter Searchmentioning
confidence: 99%
See 2 more Smart Citations
“…6 on the computation of the others. The cyclomatic number, also known as feedback edge set number, is a common measure for the difficulty of PESP instances, as it counts the number of integral variables used in a cycle-based mixed integer programming formulation (Borndörfer et al, 2019). However, parameters such as treewidth and branchwidth are much smaller.…”
Section: Parameter Searchmentioning
confidence: 99%
“…In this subsection, we discuss fixedparameter tractability by cyclomatic number. The cyclomatic number is a common measure for the difficulty of PESP instances, as it counts the number of integral variables used in a cycle-based mixed integer programming formulation (Borndörfer et al, 2019).…”
Section: Cyclomatic Numbermentioning
confidence: 99%
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“…This paper's author extended [PS16] to a general divide-and-conquer approach and applied the cycle-base formulation with several heuristics to improve on their solutions. Recently, [BLR19] combine Modulo Simplex, SAT, IP approaches and heuristics to deliver the current best solutions for PESPlib.…”
Section: Definition 2 ([Su89]mentioning
confidence: 99%
“…However, a plenty of heuristic algorithms are available, connecting PESP with a zoo of well-known problems and techniques in combinatorial optimization, e.g., simplex algorithms [7,27], maximum cuts [19], matchings [29], and Boolean satisfiability [8,23]. The prevailing approach to solve PESP instances exactly is mixed-integer programming [3,15]. For example, the subway network of Berlin has been optimized by solving such a mixed-integer programming model [16].…”
Section: Introductionmentioning
confidence: 99%